Overview

Brought to you by YData

Dataset statistics

Number of variables20
Number of observations661
Missing cells0
Missing cells (%)0.0%
Duplicate rows43
Duplicate rows (%)6.5%
Total size in memory103.4 KiB
Average record size in memory160.2 B

Variable types

Numeric20

Alerts

Dataset has 43 (6.5%) duplicate rowsDuplicates
Alpha_AF7 is highly overall correlated with Beta_AF7 and 3 other fieldsHigh correlation
Alpha_AF8 is highly overall correlated with Beta_AF8 and 3 other fieldsHigh correlation
Alpha_TP10 is highly overall correlated with Beta_TP10 and 3 other fieldsHigh correlation
Alpha_TP9 is highly overall correlated with Beta_AF8 and 7 other fieldsHigh correlation
Beta_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Beta_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Beta_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Beta_TP9 is highly overall correlated with Alpha_TP9 and 3 other fieldsHigh correlation
Delta_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Delta_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Delta_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Delta_TP9 is highly overall correlated with Alpha_TP9 and 3 other fieldsHigh correlation
Gamma_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Gamma_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Gamma_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Gamma_TP9 is highly overall correlated with Alpha_TP9 and 3 other fieldsHigh correlation
Theta_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Theta_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Theta_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Theta_TP9 is highly overall correlated with Alpha_TP9 and 3 other fieldsHigh correlation

Reproduction

Analysis started2024-10-03 22:04:45.223385
Analysis finished2024-10-03 22:05:15.485158
Duration30.26 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

Delta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6349692
Minimum0.42951965
Maximum4.3331456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:15.558740image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.42951965
5-th percentile1.2332737
Q13.5641685
median3.9644222
Q34.1750793
95-th percentile4.3331456
Maximum4.3331456
Range3.9036259
Interquartile range (IQR)0.6109108

Descriptive statistics

Standard deviation0.8928157
Coefficient of variation (CV)0.2456185
Kurtosis4.978068
Mean3.6349692
Median Absolute Deviation (MAD)0.2528482
Skewness-2.3142597
Sum2402.7147
Variance0.79711988
MonotonicityNot monotonic
2024-10-03T18:05:15.662522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4.3331456 54
 
8.2%
3.1854413 27
 
4.1%
3.5827782 27
 
4.1%
4.0238094 27
 
4.1%
3.1195264 27
 
4.1%
3.7755938 27
 
4.1%
4.0331044 27
 
4.1%
4.237893 27
 
4.1%
2.740418 27
 
4.1%
4.1752844 27
 
4.1%
Other values (16) 364
55.1%
ValueCountFrequency (%)
0.42951965 19
2.9%
0.59047264 5
 
0.8%
1.2332737 25
3.8%
2.740418 27
4.1%
3.1195264 27
4.1%
3.1854413 27
4.1%
3.2528875 27
4.1%
3.5641685 26
3.9%
3.5827782 27
4.1%
3.7651854 26
3.9%
ValueCountFrequency (%)
4.3331456 54
8.2%
4.2748666 26
3.9%
4.237893 27
4.1%
4.2172704 26
3.9%
4.1752844 27
4.1%
4.1750793 26
3.9%
4.0948434 26
3.9%
4.088666 26
3.9%
4.0331044 27
4.1%
4.0238094 27
4.1%

Delta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9571305
Minimum0.18481076
Maximum4.071196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:15.762965image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.18481076
5-th percentile0.35226285
Q12.4841416
median3.3144178
Q33.7032156
95-th percentile3.9958432
Maximum4.071196
Range3.8863852
Interquartile range (IQR)1.219074

Descriptive statistics

Standard deviation1.0622776
Coefficient of variation (CV)0.35922582
Kurtosis0.82660811
Mean2.9571305
Median Absolute Deviation (MAD)0.4533825
Skewness-1.332331
Sum1954.6632
Variance1.1284338
MonotonicityNot monotonic
2024-10-03T18:05:15.991598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2.4198463 27
 
4.1%
3.6936433 27
 
4.1%
2.908628 27
 
4.1%
2.977627 27
 
4.1%
4.071196 27
 
4.1%
3.4025056 27
 
4.1%
3.64168 27
 
4.1%
3.7173536 27
 
4.1%
3.8490694 27
 
4.1%
3.9958432 26
 
3.9%
Other values (24) 392
59.3%
ValueCountFrequency (%)
0.18481076 19
2.9%
0.19604278 5
 
0.8%
0.35226285 25
3.8%
0.45108697 4
 
0.6%
1.2808223 23
3.5%
1.4699278 21
3.2%
1.9219565 22
3.3%
1.959745 5
 
0.8%
2.3872316 6
 
0.9%
2.4198463 27
4.1%
ValueCountFrequency (%)
4.071196 27
4.1%
3.9958432 26
3.9%
3.8490694 27
4.1%
3.8370008 17
2.6%
3.7939918 9
 
1.4%
3.7756138 26
3.9%
3.7173536 27
4.1%
3.7032156 17
2.6%
3.6936433 27
4.1%
3.6831455 26
3.9%

Delta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7127087
Minimum0.8492239
Maximum3.775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:16.085624image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.8492239
5-th percentile1.0523906
Q12.5297263
median2.897458
Q33.092941
95-th percentile3.3998091
Maximum3.775
Range2.9257761
Interquartile range (IQR)0.5632147

Descriptive statistics

Standard deviation0.645877
Coefficient of variation (CV)0.23809302
Kurtosis2.0032286
Mean2.7127087
Median Absolute Deviation (MAD)0.2736973
Skewness-1.4616265
Sum1793.1005
Variance0.4171571
MonotonicityNot monotonic
2024-10-03T18:05:16.172009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3.0252771 27
 
4.1%
1.5838014 27
 
4.1%
3.1482644 27
 
4.1%
2.975083 27
 
4.1%
2.53844 27
 
4.1%
2.886321 26
 
3.9%
2.4311924 26
 
3.9%
3.0101495 26
 
3.9%
0.8492239 25
 
3.8%
2.4395869 24
 
3.6%
Other values (31) 399
60.4%
ValueCountFrequency (%)
0.8492239 25
3.8%
1.0523906 19
2.9%
1.0643276 5
 
0.8%
1.5838014 27
4.1%
2.3528621 3
 
0.5%
2.3758914 22
3.3%
2.4289272 5
 
0.8%
2.4311924 26
3.9%
2.4395869 24
3.6%
2.5297263 10
 
1.5%
ValueCountFrequency (%)
3.775 23
3.5%
3.7170422 3
 
0.5%
3.3998091 12
1.8%
3.3324993 16
2.4%
3.2122848 23
3.5%
3.189882 5
 
0.8%
3.1897132 4
 
0.6%
3.1872845 21
3.2%
3.1625636 22
3.3%
3.1482644 27
4.1%

Delta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6888565
Minimum0.32495323
Maximum4.2782483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:16.257851image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.32495323
5-th percentile1.0559686
Q13.8775296
median3.9298809
Q34.1282644
95-th percentile4.2637396
Maximum4.2782483
Range3.9532951
Interquartile range (IQR)0.2507348

Descriptive statistics

Standard deviation0.91009077
Coefficient of variation (CV)0.24671352
Kurtosis6.4759305
Mean3.6888565
Median Absolute Deviation (MAD)0.1956721
Skewness-2.7121257
Sum2438.3341
Variance0.82826522
MonotonicityNot monotonic
2024-10-03T18:05:16.349765image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3.9751232 27
 
4.1%
4.203014 27
 
4.1%
4.1282644 27
 
4.1%
4.1447315 27
 
4.1%
4.1695514 27
 
4.1%
4.0619698 27
 
4.1%
3.9132204 27
 
4.1%
4.0932865 27
 
4.1%
3.9298809 27
 
4.1%
3.9055285 27
 
4.1%
Other values (22) 391
59.2%
ValueCountFrequency (%)
0.32495323 19
2.9%
0.38940516 5
 
0.8%
1.0559686 25
3.8%
2.934535 26
3.9%
2.9629848 9
 
1.4%
3.0031857 17
2.6%
3.563568 26
3.9%
3.7753139 15
2.3%
3.8564034 22
3.3%
3.8775296 5
 
0.8%
ValueCountFrequency (%)
4.2782483 26
3.9%
4.2637396 26
3.9%
4.2189493 4
 
0.6%
4.203014 27
4.1%
4.1810308 23
3.5%
4.1695514 27
4.1%
4.1447315 27
4.1%
4.1378074 3
 
0.5%
4.1282644 27
4.1%
4.125553 23
3.5%

Theta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8339107
Minimum0.6036742
Maximum3.751975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:16.435068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.6036742
5-th percentile1.0731257
Q12.6215577
median3.0857232
Q33.2743044
95-th percentile3.4368591
Maximum3.751975
Range3.1483008
Interquartile range (IQR)0.6527467

Descriptive statistics

Standard deviation0.67036927
Coefficient of variation (CV)0.23655271
Kurtosis2.2850466
Mean2.8339107
Median Absolute Deviation (MAD)0.2661805
Skewness-1.5693289
Sum1873.215
Variance0.44939495
MonotonicityNot monotonic
2024-10-03T18:05:16.517943image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3.3519037 54
 
8.2%
2.264408 27
 
4.1%
2.6215577 27
 
4.1%
3.2744727 27
 
4.1%
2.1287494 27
 
4.1%
2.7773292 27
 
4.1%
3.751975 27
 
4.1%
3.2694962 27
 
4.1%
2.688523 27
 
4.1%
3.2119987 27
 
4.1%
Other values (16) 364
55.1%
ValueCountFrequency (%)
0.6036742 5
 
0.8%
0.85613334 19
2.9%
1.0731257 25
3.8%
2.1287494 27
4.1%
2.264408 27
4.1%
2.2795331 27
4.1%
2.4531286 26
3.9%
2.6215577 27
4.1%
2.688523 27
4.1%
2.7301676 26
3.9%
ValueCountFrequency (%)
3.751975 27
4.1%
3.4368591 26
3.9%
3.3519037 54
8.2%
3.2886355 26
3.9%
3.2744727 27
4.1%
3.2743044 26
3.9%
3.2694962 27
4.1%
3.2402463 21
 
3.2%
3.227211 6
 
0.9%
3.2119987 27
4.1%

Theta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4071047
Minimum-0.098403275
Maximum3.8195493
Zeros0
Zeros (%)0.0%
Negative24
Negative (%)3.6%
Memory size5.3 KiB
2024-10-03T18:05:16.615413image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.098403275
5-th percentile0.10339692
Q11.9365224
median2.7035367
Q33.0534713
95-th percentile3.5304687
Maximum3.8195493
Range3.9179526
Interquartile range (IQR)1.1169489

Descriptive statistics

Standard deviation0.96871221
Coefficient of variation (CV)0.40243875
Kurtosis0.71125815
Mean2.4071047
Median Absolute Deviation (MAD)0.5928848
Skewness-1.1065038
Sum1591.0962
Variance0.93840334
MonotonicityNot monotonic
2024-10-03T18:05:16.714764image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1.9365224 27
 
4.1%
3.5304687 27
 
4.1%
2.000628 27
 
4.1%
2.0479574 27
 
4.1%
3.8195493 27
 
4.1%
2.850115 27
 
4.1%
2.7069418 27
 
4.1%
2.7035367 27
 
4.1%
3.3078725 27
 
4.1%
3.0534713 26
 
3.9%
Other values (24) 392
59.3%
ValueCountFrequency (%)
-0.098403275 19
2.9%
-0.08986529 5
 
0.8%
0.021965228 4
 
0.6%
0.103396915 25
3.8%
1.055056 21
3.2%
1.0598754 23
3.5%
1.8079759 6
 
0.9%
1.8333309 22
3.3%
1.8711194 5
 
0.8%
1.9048859 21
3.2%
ValueCountFrequency (%)
3.8195493 27
4.1%
3.5304687 27
4.1%
3.3078725 27
4.1%
3.2964215 23
3.5%
3.2460186 26
3.9%
3.2285829 4
 
0.6%
3.1843917 3
 
0.5%
3.1575015 23
3.5%
3.0534713 26
3.9%
2.9446464 5
 
0.8%

Theta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7916513
Minimum0.18066953
Maximum2.7502215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:16.812896image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.18066953
5-th percentile0.3406002
Q11.665534
median1.8580164
Q32.0881174
95-th percentile2.3672814
Maximum2.7502215
Range2.569552
Interquartile range (IQR)0.4225834

Descriptive statistics

Standard deviation0.5239693
Coefficient of variation (CV)0.29245048
Kurtosis3.0690062
Mean1.7916513
Median Absolute Deviation (MAD)0.221444
Skewness-1.5824962
Sum1184.2815
Variance0.27454383
MonotonicityNot monotonic
2024-10-03T18:05:16.908982image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2.0865002 27
 
4.1%
1.1410567 27
 
4.1%
2.1118383 27
 
4.1%
1.8580164 27
 
4.1%
1.6365724 27
 
4.1%
1.9645746 26
 
3.9%
1.7725649 26
 
3.9%
1.8897614 26
 
3.9%
0.3406002 25
 
3.8%
1.665534 24
 
3.6%
Other values (31) 399
60.4%
ValueCountFrequency (%)
0.18066953 19
2.9%
0.22225934 5
 
0.8%
0.3406002 25
3.8%
1.1410567 27
4.1%
1.5710039 3
 
0.5%
1.582592 22
3.3%
1.6270005 5
 
0.8%
1.6365724 27
4.1%
1.6416334 10
 
1.5%
1.663947 17
2.6%
ValueCountFrequency (%)
2.7502215 23
3.5%
2.6922903 3
 
0.5%
2.3672814 12
1.8%
2.2708418 16
2.4%
2.1998186 5
 
0.8%
2.1804721 22
3.3%
2.1514544 23
3.5%
2.130733 4
 
0.6%
2.1260383 9
 
1.4%
2.11202 21
3.2%

Theta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8344993
Minimum0.3608868
Maximum3.4591722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:16.993059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.3608868
5-th percentile0.7374124
Q12.815646
median3.0910442
Q33.2086697
95-th percentile3.43793
Maximum3.4591722
Range3.0982854
Interquartile range (IQR)0.3930237

Descriptive statistics

Standard deviation0.73474794
Coefficient of variation (CV)0.25921613
Kurtosis4.0495091
Mean2.8344993
Median Absolute Deviation (MAD)0.1746028
Skewness-2.1732833
Sum1873.604
Variance0.53985453
MonotonicityNot monotonic
2024-10-03T18:05:17.084402image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2.9981778 27
 
4.1%
3.170731 27
 
4.1%
3.365084 27
 
4.1%
3.1852393 27
 
4.1%
3.2086697 27
 
4.1%
3.0910442 27
 
4.1%
2.7959063 27
 
4.1%
3.109004 27
 
4.1%
2.963059 27
 
4.1%
2.9241536 27
 
4.1%
Other values (22) 391
59.2%
ValueCountFrequency (%)
0.3608868 5
 
0.8%
0.43078756 19
2.9%
0.7374124 25
3.8%
2.002464 26
3.9%
2.003223 9
 
1.4%
2.0138729 17
2.6%
2.5873828 26
3.9%
2.7959063 27
4.1%
2.815646 22
3.3%
2.8300178 5
 
0.8%
ValueCountFrequency (%)
3.4591722 23
3.5%
3.43793 26
3.9%
3.4266253 4
 
0.6%
3.389137 15
2.3%
3.3879797 12
1.8%
3.365084 27
4.1%
3.312658 26
3.9%
3.2651048 26
3.9%
3.2180266 3
 
0.5%
3.2086697 27
4.1%

Alpha_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8439794
Minimum1.2466794
Maximum3.5840297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:17.170375image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.2466794
5-th percentile1.5494043
Q12.6202967
median2.9979403
Q33.1346195
95-th percentile3.5121756
Maximum3.5840297
Range2.3373503
Interquartile range (IQR)0.5143228

Descriptive statistics

Standard deviation0.51931444
Coefficient of variation (CV)0.18260134
Kurtosis0.89208806
Mean2.8439794
Median Absolute Deviation (MAD)0.2087167
Skewness-1.1308909
Sum1879.8704
Variance0.26968749
MonotonicityNot monotonic
2024-10-03T18:05:17.251578image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.206657 54
 
8.2%
3.5840297 27
 
4.1%
2.6902409 27
 
4.1%
3.4429336 27
 
4.1%
2.205399 27
 
4.1%
2.9979403 27
 
4.1%
3.0642958 27
 
4.1%
3.0189328 27
 
4.1%
3.0401425 27
 
4.1%
3.113407 27
 
4.1%
Other values (15) 364
55.1%
ValueCountFrequency (%)
1.2466794 5
 
0.8%
1.5462103 25
3.8%
1.5494043 19
2.9%
2.205399 27
4.1%
2.2986646 27
4.1%
2.3326926 27
4.1%
2.3510034 26
3.9%
2.6202967 26
3.9%
2.6902409 27
4.1%
2.8938875 27
4.1%
ValueCountFrequency (%)
3.5840297 27
4.1%
3.5121756 26
3.9%
3.4429336 27
4.1%
3.206657 54
8.2%
3.1793158 26
3.9%
3.1346195 26
3.9%
3.113407 27
4.1%
3.1034408 26
3.9%
3.0642958 27
4.1%
3.0401425 27
4.1%

Alpha_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.626439
Minimum0.09263785
Maximum3.5639346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:17.330809image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.09263785
5-th percentile0.18832791
Q12.1894662
median2.909014
Q33.091495
95-th percentile3.551447
Maximum3.5639346
Range3.4712968
Interquartile range (IQR)0.9020288

Descriptive statistics

Standard deviation0.89148229
Coefficient of variation (CV)0.33942623
Kurtosis1.8291394
Mean2.626439
Median Absolute Deviation (MAD)0.5300238
Skewness-1.473184
Sum1736.0762
Variance0.79474068
MonotonicityNot monotonic
2024-10-03T18:05:17.417867image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2.7363 27
 
4.1%
3.5639346 27
 
4.1%
2.1894662 27
 
4.1%
2.2194684 27
 
4.1%
3.030169 27
 
4.1%
3.519476 27
 
4.1%
3.332707 27
 
4.1%
2.909014 27
 
4.1%
2.9866626 27
 
4.1%
2.1680236 27
 
4.1%
Other values (18) 391
59.2%
ValueCountFrequency (%)
0.09263785 25
3.8%
0.18832791 19
2.9%
0.3290486 5
 
0.8%
1.2197561 4
 
0.6%
1.5592557 21
3.2%
1.7979426 27
4.1%
2.0825436 23
3.5%
2.1680236 27
4.1%
2.1894662 27
4.1%
2.2194684 27
4.1%
ValueCountFrequency (%)
3.5639346 27
4.1%
3.551447 26
3.9%
3.5374632 26
3.9%
3.519476 27
4.1%
3.4390378 27
4.1%
3.332707 27
4.1%
3.2828112 5
 
0.8%
3.091495 26
3.9%
3.0523057 26
3.9%
3.0334375 26
3.9%

Alpha_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9704101
Minimum0.4253406
Maximum2.8976092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:17.508086image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.4253406
5-th percentile0.48604643
Q11.8638964
median2.0754616
Q32.276362
95-th percentile2.5669887
Maximum2.8976092
Range2.4722686
Interquartile range (IQR)0.4124656

Descriptive statistics

Standard deviation0.53196321
Coefficient of variation (CV)0.26997588
Kurtosis2.4627313
Mean1.9704101
Median Absolute Deviation (MAD)0.2115652
Skewness-1.4866238
Sum1302.4411
Variance0.28298486
MonotonicityNot monotonic
2024-10-03T18:05:17.602796image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2.3031237 27
 
4.1%
2.050373 27
 
4.1%
1.4297215 27
 
4.1%
2.2727509 27
 
4.1%
2.0407715 27
 
4.1%
1.7664766 27
 
4.1%
1.5224756 27
 
4.1%
1.8638964 27
 
4.1%
2.0754616 27
 
4.1%
2.276362 27
 
4.1%
Other values (21) 391
59.2%
ValueCountFrequency (%)
0.4253406 25
3.8%
0.48604643 19
2.9%
0.49537066 5
 
0.8%
1.4297215 27
4.1%
1.5224756 27
4.1%
1.524068 26
3.9%
1.7561765 5
 
0.8%
1.7664766 27
4.1%
1.8638964 27
4.1%
1.909266 15
2.3%
ValueCountFrequency (%)
2.8976092 26
3.9%
2.5669887 12
1.8%
2.3722756 16
2.4%
2.3606832 26
3.9%
2.3603046 23
3.5%
2.3553019 26
3.9%
2.3455021 4
 
0.6%
2.3031237 27
4.1%
2.276362 27
4.1%
2.2727509 27
4.1%

Alpha_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.82465
Minimum1.12928
Maximum3.592411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:17.704680image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.12928
5-th percentile1.1593931
Q12.7771742
median2.9964554
Q33.0402544
95-th percentile3.5283399
Maximum3.592411
Range2.463131
Interquartile range (IQR)0.2630802

Descriptive statistics

Standard deviation0.59589903
Coefficient of variation (CV)0.21096385
Kurtosis2.0678728
Mean2.82465
Median Absolute Deviation (MAD)0.2092516
Skewness-1.5428804
Sum1867.0936
Variance0.35509566
MonotonicityNot monotonic
2024-10-03T18:05:17.811758image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2.958502 27
 
4.1%
3.0078452 27
 
4.1%
2.7872038 27
 
4.1%
3.0402544 27
 
4.1%
2.9430552 27
 
4.1%
2.9427845 27
 
4.1%
3.252273 27
 
4.1%
3.592411 27
 
4.1%
2.7771742 27
 
4.1%
2.9964554 27
 
4.1%
Other values (18) 391
59.2%
ValueCountFrequency (%)
1.12928 19
2.9%
1.1593931 25
3.8%
1.3354694 5
 
0.8%
1.9664023 26
3.9%
2.1223328 26
3.9%
2.4196603 26
3.9%
2.7577536 26
3.9%
2.7771742 27
4.1%
2.7872038 27
4.1%
2.8589203 26
3.9%
ValueCountFrequency (%)
3.592411 27
4.1%
3.5283399 27
4.1%
3.4799159 27
4.1%
3.3402286 3
 
0.5%
3.3391268 23
3.5%
3.252273 27
4.1%
3.0970235 12
1.8%
3.074191 15
2.3%
3.0402544 27
4.1%
3.034692 26
3.9%

Beta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3239768
Minimum0.29643792
Maximum3.0867136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:17.912183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.29643792
5-th percentile0.4837242
Q12.1239128
median2.5680866
Q32.756598
95-th percentile2.8983364
Maximum3.0867136
Range2.7902757
Interquartile range (IQR)0.6326852

Descriptive statistics

Standard deviation0.65620305
Coefficient of variation (CV)0.28236213
Kurtosis2.5495243
Mean2.3239768
Median Absolute Deviation (MAD)0.2901793
Skewness-1.6864611
Sum1536.1487
Variance0.43060244
MonotonicityNot monotonic
2024-10-03T18:05:18.008752image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.8582659 54
 
8.2%
1.7723945 27
 
4.1%
2.1239128 27
 
4.1%
2.7364902 27
 
4.1%
1.7386451 27
 
4.1%
2.292154 27
 
4.1%
3.0867136 27
 
4.1%
2.756598 27
 
4.1%
2.1465788 27
 
4.1%
2.6994946 27
 
4.1%
Other values (16) 364
55.1%
ValueCountFrequency (%)
0.29643792 5
 
0.8%
0.40115005 25
3.8%
0.4837242 19
2.9%
1.7386451 27
4.1%
1.7723945 27
4.1%
1.7997068 27
4.1%
1.96443 26
3.9%
2.1239128 27
4.1%
2.1465788 27
4.1%
2.2193766 26
3.9%
ValueCountFrequency (%)
3.0867136 27
4.1%
2.8983364 26
3.9%
2.8582659 54
8.2%
2.7714407 26
3.9%
2.7700994 26
3.9%
2.756598 27
4.1%
2.7364902 27
4.1%
2.7307475 26
3.9%
2.6994946 27
4.1%
2.6972928 21
 
3.2%

Beta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9177243
Minimum-0.12542732
Maximum3.1523063
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)8.0%
Memory size5.3 KiB
2024-10-03T18:05:18.101574image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.12542732
5-th percentile-0.084986426
Q11.3997796
median2.1869376
Q32.585836
95-th percentile2.967439
Maximum3.1523063
Range3.2777336
Interquartile range (IQR)1.1860564

Descriptive statistics

Standard deviation0.87389469
Coefficient of variation (CV)0.4556936
Kurtosis0.040408122
Mean1.9177243
Median Absolute Deviation (MAD)0.5464282
Skewness-0.91584709
Sum1267.6158
Variance0.76369192
MonotonicityNot monotonic
2024-10-03T18:05:18.194794image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1.3193502 27
 
4.1%
2.967439 27
 
4.1%
1.5448064 27
 
4.1%
1.5560129 27
 
4.1%
3.1523063 27
 
4.1%
2.3095596 27
 
4.1%
2.2209928 27
 
4.1%
2.1869376 27
 
4.1%
2.7660587 27
 
4.1%
2.585836 26
 
3.9%
Other values (24) 392
59.3%
ValueCountFrequency (%)
-0.12542732 5
 
0.8%
-0.10665952 19
2.9%
-0.084986426 25
3.8%
-0.016197499 4
 
0.6%
0.5419064 21
3.2%
0.6053392 23
3.5%
1.3028696 6
 
0.9%
1.3103086 22
3.3%
1.3193502 27
4.1%
1.3480971 5
 
0.8%
ValueCountFrequency (%)
3.1523063 27
4.1%
2.967439 27
4.1%
2.7660587 27
4.1%
2.7333658 23
3.5%
2.6907005 26
3.9%
2.666226 4
 
0.6%
2.6320775 3
 
0.5%
2.5969806 23
3.5%
2.585836 26
3.9%
2.4974747 17
2.6%

Beta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3488073
Minimum-0.13148731
Maximum2.247406
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)7.4%
Memory size5.3 KiB
2024-10-03T18:05:18.291141image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.13148731
5-th percentile-0.09444963
Q11.2146449
median1.4366362
Q31.6082186
95-th percentile1.8415301
Maximum2.247406
Range2.3788933
Interquartile range (IQR)0.3935737

Descriptive statistics

Standard deviation0.48914217
Coefficient of variation (CV)0.36264793
Kurtosis3.5476583
Mean1.3488073
Median Absolute Deviation (MAD)0.204846
Skewness-1.6792417
Sum891.56161
Variance0.23926006
MonotonicityNot monotonic
2024-10-03T18:05:18.382684image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1.6082186 27
 
4.1%
0.9783565 27
 
4.1%
1.5983293 27
 
4.1%
1.4410197 27
 
4.1%
1.299016 27
 
4.1%
1.4366362 26
 
3.9%
1.1702263 26
 
3.9%
1.4519447 26
 
3.9%
-0.13148731 25
 
3.8%
1.0950403 24
 
3.6%
Other values (31) 399
60.4%
ValueCountFrequency (%)
-0.13148731 25
3.8%
-0.113555 5
 
0.8%
-0.09444963 19
2.9%
0.9783565 27
4.1%
1.0028151 3
 
0.5%
1.0950403 24
3.6%
1.1611203 5
 
0.8%
1.1702263 26
3.9%
1.1703433 22
3.3%
1.2146449 10
 
1.5%
ValueCountFrequency (%)
2.247406 23
3.5%
2.1894298 3
 
0.5%
1.8415301 12
1.8%
1.8147392 16
2.4%
1.7239006 5
 
0.8%
1.7019974 22
3.3%
1.6898365 23
3.5%
1.6889735 21
3.2%
1.6814399 4
 
0.6%
1.6675549 9
 
1.4%

Beta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3662847
Minimum0.5273332
Maximum2.9360301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-10-03T18:05:18.470305image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.5273332
5-th percentile0.5749679
Q12.353244
median2.5797243
Q32.7664886
95-th percentile2.8430617
Maximum2.9360301
Range2.4086969
Interquartile range (IQR)0.4132446

Descriptive statistics

Standard deviation0.61750643
Coefficient of variation (CV)0.26096033
Kurtosis2.9682141
Mean2.3662847
Median Absolute Deviation (MAD)0.2037099
Skewness-1.9463953
Sum1564.1142
Variance0.3813142
MonotonicityNot monotonic
2024-10-03T18:05:18.561792image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2.491492 27
 
4.1%
2.7137902 27
 
4.1%
2.8411474 27
 
4.1%
2.6376708 27
 
4.1%
2.7959454 27
 
4.1%
2.5797243 27
 
4.1%
2.353244 27
 
4.1%
2.616877 27
 
4.1%
2.4900455 27
 
4.1%
2.4367661 27
 
4.1%
Other values (22) 391
59.2%
ValueCountFrequency (%)
0.5273332 25
3.8%
0.55961406 5
 
0.8%
0.5749679 19
2.9%
1.5210266 9
 
1.4%
1.539075 17
2.6%
1.5506296 26
3.9%
2.1171796 26
3.9%
2.3207402 22
3.3%
2.330271 5
 
0.8%
2.353244 27
4.1%
ValueCountFrequency (%)
2.9360301 23
3.5%
2.9123318 4
 
0.6%
2.8430617 12
1.8%
2.8411474 27
4.1%
2.837943 15
2.3%
2.8015103 26
3.9%
2.7959454 27
4.1%
2.7834342 26
3.9%
2.7664886 26
3.9%
2.7137902 27
4.1%

Gamma_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7435518
Minimum-0.3629545
Maximum2.3912492
Zeros0
Zeros (%)0.0%
Negative24
Negative (%)3.6%
Memory size5.3 KiB
2024-10-03T18:05:18.642315image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.3629545
5-th percentile0.01338131
Q11.5193347
median2.0138729
Q32.1754694
95-th percentile2.303926
Maximum2.3912492
Range2.7542037
Interquartile range (IQR)0.6561347

Descriptive statistics

Standard deviation0.64950083
Coefficient of variation (CV)0.37251593
Kurtosis2.8118457
Mean1.7435518
Median Absolute Deviation (MAD)0.2748594
Skewness-1.7603461
Sum1152.4878
Variance0.42185133
MonotonicityNot monotonic
2024-10-03T18:05:18.725116image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.2887323 54
 
8.2%
1.1871699 27
 
4.1%
1.5193347 27
 
4.1%
2.1787562 27
 
4.1%
1.1421592 27
 
4.1%
1.7179315 27
 
4.1%
2.303926 27
 
4.1%
2.152933 27
 
4.1%
1.668276 27
 
4.1%
2.1180496 27
 
4.1%
Other values (16) 364
55.1%
ValueCountFrequency (%)
-0.3629545 19
2.9%
-0.06295783 5
 
0.8%
0.01338131 25
3.8%
1.1421592 27
4.1%
1.1871699 27
4.1%
1.2190187 27
4.1%
1.3799627 26
3.9%
1.5193347 27
4.1%
1.6590468 26
3.9%
1.668276 27
4.1%
ValueCountFrequency (%)
2.3912492 26
3.9%
2.303926 27
4.1%
2.2887323 54
8.2%
2.2113812 26
3.9%
2.1787562 27
4.1%
2.1754694 21
 
3.2%
2.152933 27
4.1%
2.1525207 6
 
0.9%
2.1297107 26
3.9%
2.1297095 26
3.9%

Gamma_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3754818
Minimum-1.0663998
Maximum2.5058782
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)8.0%
Memory size5.3 KiB
2024-10-03T18:05:18.811508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-1.0663998
5-th percentile-0.37084547
Q10.88514704
median1.599367
Q31.9641858
95-th percentile2.375929
Maximum2.5058782
Range3.572278
Interquartile range (IQR)1.0790388

Descriptive statistics

Standard deviation0.83290006
Coefficient of variation (CV)0.6055333
Kurtosis-0.22874643
Mean1.3754818
Median Absolute Deviation (MAD)0.6116466
Skewness-0.78151881
Sum909.1935
Variance0.69372251
MonotonicityNot monotonic
2024-10-03T18:05:18.906102image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.60848737 27
 
4.1%
2.5058782 27
 
4.1%
0.9878762 27
 
4.1%
0.9495656 27
 
4.1%
2.375929 27
 
4.1%
1.8081278 27
 
4.1%
1.6350905 27
 
4.1%
1.599367 27
 
4.1%
2.2630394 27
 
4.1%
1.9641858 26
 
3.9%
Other values (24) 392
59.3%
ValueCountFrequency (%)
-1.0663998 4
 
0.6%
-0.37378398 19
2.9%
-0.37209335 5
 
0.8%
-0.37084547 25
3.8%
0.06049766 23
3.5%
0.072101586 21
3.2%
0.60848737 27
4.1%
0.788237 6
 
0.9%
0.8432574 22
3.3%
0.881046 5
 
0.8%
ValueCountFrequency (%)
2.5058782 27
4.1%
2.375929 27
4.1%
2.2703638 23
3.5%
2.2630394 27
4.1%
2.2110136 26
3.9%
2.2029169 4
 
0.6%
2.1550102 3
 
0.5%
2.1402593 23
3.5%
1.9641858 26
3.9%
1.9352814 5
 
0.8%

Gamma_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.792029
Minimum-0.47502875
Maximum1.6490227
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)7.4%
Memory size5.3 KiB
2024-10-03T18:05:18.998762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.47502875
5-th percentile-0.3992623
Q10.68381464
median0.8398459
Q31.042066
95-th percentile1.2779562
Maximum1.6490227
Range2.1240515
Interquartile range (IQR)0.35825136

Descriptive statistics

Standard deviation0.42349728
Coefficient of variation (CV)0.53469921
Kurtosis3.0774349
Mean0.792029
Median Absolute Deviation (MAD)0.1691995
Skewness-1.4075428
Sum523.53117
Variance0.17934995
MonotonicityNot monotonic
2024-10-03T18:05:19.212491image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.98215985 27
 
4.1%
0.49421024 27
 
4.1%
1.042066 27
 
4.1%
0.90459895 27
 
4.1%
0.7261957 27
 
4.1%
0.87925744 26
 
3.9%
0.68381464 26
 
3.9%
0.8398459 26
 
3.9%
-0.3992623 25
 
3.8%
0.55827665 24
 
3.6%
Other values (31) 399
60.4%
ValueCountFrequency (%)
-0.47502875 19
2.9%
-0.46834108 5
 
0.8%
-0.3992623 25
3.8%
0.47077477 3
 
0.5%
0.49421024 27
4.1%
0.55827665 24
3.6%
0.5759891 22
3.3%
0.60087985 5
 
0.8%
0.6125758 5
 
0.8%
0.6218991 10
 
1.5%
ValueCountFrequency (%)
1.6490227 23
3.5%
1.5911492 3
 
0.5%
1.2779562 12
1.8%
1.234565 16
2.4%
1.1354386 5
 
0.8%
1.1172979 22
3.3%
1.0884025 9
 
1.4%
1.0624988 23
3.5%
1.0553204 21
3.2%
1.0521524 17
2.6%

Gamma_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7751347
Minimum-0.026254598
Maximum2.4160318
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)7.4%
Memory size5.3 KiB
2024-10-03T18:05:19.297159image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.026254598
5-th percentile-0.0063624945
Q11.7582368
median1.9718705
Q32.1121168
95-th percentile2.3397107
Maximum2.4160318
Range2.4422864
Interquartile range (IQR)0.35388

Descriptive statistics

Standard deviation0.61206397
Coefficient of variation (CV)0.3447986
Kurtosis2.7936808
Mean1.7751347
Median Absolute Deviation (MAD)0.159362
Skewness-1.8810879
Sum1173.3641
Variance0.37462231
MonotonicityNot monotonic
2024-10-03T18:05:19.383871image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2.019165 27
 
4.1%
1.8580984 27
 
4.1%
2.1108565 27
 
4.1%
1.7582368 27
 
4.1%
2.1312325 27
 
4.1%
1.9718705 27
 
4.1%
1.8967748 27
 
4.1%
2.0798328 27
 
4.1%
1.8977163 27
 
4.1%
2.0683997 26
 
3.9%
Other values (23) 392
59.3%
ValueCountFrequency (%)
-0.026254598 5
 
0.8%
-0.0076616765 19
2.9%
-0.0063624945 25
3.8%
0.90802777 9
 
1.4%
0.94212025 17
2.6%
0.9656054 26
3.9%
1.518041 26
3.9%
1.7262626 22
3.3%
1.7371159 5
 
0.8%
1.7582368 27
4.1%
ValueCountFrequency (%)
2.4160318 23
3.5%
2.379658 4
 
0.6%
2.3397107 15
2.3%
2.3339486 12
1.8%
2.2877877 26
3.9%
2.2877 1
 
0.2%
2.1815495 26
3.9%
2.1766164 26
3.9%
2.1312325 27
4.1%
2.1251376 3
 
0.5%

Interactions

2024-10-03T18:05:13.696804image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:45.425177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:46.940651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:48.443159image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:49.899046image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:51.319083image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:52.703275image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:54.295418image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:55.685787image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:57.137192image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:58.674009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:00.149297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:01.593316image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:03.127822image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:04.531206image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:05:07.493693image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:08.905364image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:05:06.061676image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:07.573801image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:08.983830image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:05:11.743263image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:13.484647image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:15.017569image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:46.798809image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:48.301860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:49.752303image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:51.182508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:52.567191image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:54.149843image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:55.553910image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:56.996835image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:58.535342image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:00.000712image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:01.457880image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:02.996961image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:04.399049image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:05.847297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:07.365172image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:08.772622image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:10.216273image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:11.818428image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:13.560667image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:15.091436image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:46.869572image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:48.370337image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:49.828556image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:51.247350image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:52.632325image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:54.222242image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:55.617325image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:57.064586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:58.601682image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:00.078205image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:01.525384image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:03.061066image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:04.464130image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:05.914818image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:07.428748image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:08.839204image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:10.283257image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:11.886649image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:13.628020image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-10-03T18:05:19.460024image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Alpha_AF7Alpha_AF8Alpha_TP10Alpha_TP9Beta_AF7Beta_AF8Beta_TP10Beta_TP9Delta_AF7Delta_AF8Delta_TP10Delta_TP9Gamma_AF7Gamma_AF8Gamma_TP10Gamma_TP9Theta_AF7Theta_AF8Theta_TP10Theta_TP9
Alpha_AF71.0000.3250.295-0.0020.9060.1980.2320.0670.6560.2460.237-0.0210.9250.1800.2970.0670.9020.2420.2660.036
Alpha_AF80.3251.0000.2170.3900.2960.8950.1930.3190.2040.8960.1810.3370.2950.8810.1880.3630.2860.8840.2290.337
Alpha_TP100.2950.2171.0000.2440.2220.1790.9180.280-0.0030.2170.7010.2620.2420.1560.9270.2530.2290.1570.9180.295
Alpha_TP9-0.0020.3900.2441.000-0.1120.5560.1720.874-0.1350.5700.1490.761-0.1190.5540.1680.914-0.1190.5240.1650.893
Beta_AF70.9060.2960.222-0.1121.0000.1580.214-0.1080.8400.2060.271-0.1830.9950.1480.267-0.0940.9980.2130.242-0.134
Beta_AF80.1980.8950.1790.5560.1581.0000.1500.4540.0180.9870.2060.4900.1540.9890.1470.4850.1500.9680.1650.470
Beta_TP100.2320.1930.9180.1720.2140.1501.0000.2120.0040.1910.7450.2050.2330.1180.9770.1910.2190.1280.9870.235
Beta_TP90.0670.3190.2800.874-0.1080.4540.2121.000-0.1090.4350.0590.906-0.1010.4500.2090.984-0.1080.3960.1990.992
Delta_AF70.6560.204-0.003-0.1350.8400.0180.004-0.1091.0000.0420.076-0.1830.8170.0080.033-0.0880.8380.0510.016-0.149
Delta_AF80.2460.8960.2170.5700.2060.9870.1910.4350.0421.0000.2450.4640.2010.9760.1840.4750.1980.9730.2030.454
Delta_TP100.2370.1810.7010.1490.2710.2060.7450.0590.0760.2451.0000.1530.2690.1840.8020.0330.2790.1800.7270.061
Delta_TP9-0.0210.3370.2620.761-0.1830.4900.2050.906-0.1830.4640.1531.000-0.1790.4770.1820.866-0.1750.4240.1960.884
Gamma_AF70.9250.2950.242-0.1190.9950.1540.233-0.1010.8170.2010.269-0.1791.0000.1410.287-0.0920.9930.1990.263-0.130
Gamma_AF80.1800.8810.1560.5540.1480.9890.1180.4500.0080.9760.1840.4770.1411.0000.1160.4810.1410.9710.1370.474
Gamma_TP100.2970.1880.9270.1680.2670.1470.9770.2090.0330.1840.8020.1820.2870.1161.0000.1840.2710.1190.9650.226
Gamma_TP90.0670.3630.2530.914-0.0940.4850.1910.984-0.0880.4750.0330.866-0.0920.4810.1841.000-0.0990.4430.1760.989
Theta_AF70.9020.2860.229-0.1190.9980.1500.219-0.1080.8380.1980.279-0.1750.9930.1410.271-0.0991.0000.2060.248-0.136
Theta_AF80.2420.8840.1570.5240.2130.9680.1280.3960.0510.9730.1800.4240.1990.9710.1190.4430.2061.0000.1470.423
Theta_TP100.2660.2290.9180.1650.2420.1650.9870.1990.0160.2030.7270.1960.2630.1370.9650.1760.2480.1471.0000.224
Theta_TP90.0360.3370.2950.893-0.1340.4700.2350.992-0.1490.4540.0610.884-0.1300.4740.2260.989-0.1360.4230.2241.000

Missing values

2024-10-03T18:05:15.206351image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-03T18:05:15.401908image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10
01.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
11.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
21.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
31.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
41.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
51.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
61.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
71.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
81.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
91.2332740.3522630.8492241.0559691.0731260.1033970.34060.7374121.546210.0926380.4253411.1593930.40115-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.006362
Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10
6514.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6524.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6534.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6544.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6554.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6564.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6574.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6584.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6594.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263
6604.3331461.9219573.1625643.8564033.3519041.8333312.1804722.8156463.2066572.73632.3031242.9585022.8582661.3103091.7019972.320742.2887320.8432571.1172981.726263

Duplicate rows

Most frequently occurring

Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10# duplicates
244.0238092.9776273.1482644.1695513.2744732.0479572.1118383.2086703.4429342.2194682.2727513.2522732.7364901.5560131.5983292.7959452.1787560.9495661.0420662.13123227
364.2378933.7173542.5384403.9132203.2694962.7035371.6365722.7959063.0189332.9241391.7664772.7872042.7565982.1869381.2990162.3532442.1529331.5993670.7261961.75823727
153.7651852.8610352.8863213.5635682.7301682.6099811.9645752.5873832.6202973.0334371.9731152.4196602.2193772.0027181.4366362.1171801.6590471.3983500.8792571.51804126
183.9003292.9086281.5838014.1282642.8955532.0006281.1410573.3650842.8938872.1894661.4297223.4799162.3712321.5448060.9783562.8411471.7800120.9878760.4942102.28778826
213.9644223.7756142.4311922.9345353.0857232.8774571.7725652.0024642.9732632.8820461.5240681.9664022.5680872.3980701.1702261.5506302.0138731.7816860.6838150.96560526
314.1750793.9958433.0101493.9072173.1342223.0534711.8897612.9164413.1034413.0914952.2071402.8589202.7307482.5858361.4519452.4341552.1297111.9641860.8398461.83514726
21.2332740.3522630.8492241.0559691.0731260.1033970.3406000.7374121.5462100.0926380.4253411.1593930.401150-0.084986-0.1314870.5273330.013381-0.370845-0.399262-0.00636225
42.7404183.8490692.4395874.1447312.6885233.3078731.6655343.1852393.0401423.4390381.5224763.0402542.1465792.7660591.0950402.6376711.6682762.2630390.5582772.07983324
143.5827783.6936433.2122854.1810312.6215583.5304692.1514543.4591722.6902413.5639352.3603053.5924112.1239132.9674391.6898362.9360301.5193352.5058781.0624992.41603223
173.7755943.3144182.9750833.9751232.7773293.2964221.8580162.9981782.9979403.5194762.0407712.9430552.2921542.7333661.4410202.4914921.7179312.2703640.9045991.89677523